Evaluation on Event-Human3.6m.
For each subject, we keep 13 out the 32 provided joints to build skeletons that are compatible with DHP19 ground-truths and evaluate our approach on a cross-subject protocol. We train our models on subjects 1, 3, 5, 7, 8 and test on subjects 9 and 11. Similar works [1]}, [2]}, [3]} evaluate monocular approaches on every 64th frame of the recordings. We adapt this evaluation protocol to our asynchronous Event-Human3.6m by taking event-frames corresponding to the same testing frames. Table REF  reports the results of our approach with constant-count and voxel-grid representations. Moreover, we compare our methodology to state-of-the-art RGB approaches [4]}, [1]}, [3]}, [2]}. Despite the gap with standard computer-vision techniques, our approach performs fairly against existing RGB approaches.
<TABLE>